Development of shape optimization techniques using fast electromagnetic filed analysis for motors with high efficiency
| Project/Area Number |
24560319
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Power engineering/Power conversion/Electric machinery
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| Research Institution | Muroran Institute of Technology |
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Principal Investigator |
WATANABE Kota 室蘭工業大学, 工学(系)研究科(研究院), 准教授 (20322828)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2013: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2012: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
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| Keywords | 電磁界数値解析 / 最適化 / 電磁機器 / 形状最適化 / 電磁界解析 / 有限要素解析 / 有限要素法 |
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| Outline of Final Research Achievements |
The purpose of this study is shape optimizations to improve the efficiency of electromagnetic devices such as motors. Moreover, fast computations of electromagnetic filed analysis which is necessary for the optimizations are investigated in this study. An ON/OFF method in which a bitmap expresses the distribution of material is adopted. This method has a poor ability of expression for curved surfaces. The terraced surfaces deteriorate accuracy of finite element analyses. To solve this difficulty, half material state is introduced. The proposed method is applied to an optimization to maximize torque of permanent magnet synchronous motors. The numerical results show that the present method can obtain the optimum shape of routers.
A deflation method which can improve convergence of linear solvers is introduced so as to reduce the computational cost of the optimizations. The numerical results show that the deflation method can successfully reduce the computational cost of analyses.
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Report
(4 results)
Research Products
(14 results)
